Review of Safety Risk Early Warning Technology and Engineering Application for Lithium Battery Energy Storage Power Stations

WANG Liming; SHI Zinan; LI Miangang; GUO Fumin; LIANG Huishi; LIN Jun; YIN Fanghui

doi:10.16516/j.ceec.2025-240

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Review of Safety Risk Early Warning Technology and Engineering Application for Lithium Battery Energy Storage Power Stations

更新时间：2026-10-14

- Review of Safety Risk Early Warning Technology and Engineering Application for Lithium Battery Energy Storage Power Stations
- Southern Energy Construction Vol. 13, Issue 4, Pages: 1-16(2026)
- 作者机构：
  
  1. 清华大学深圳国际研究生院,广东,深圳,518055
  2. 清华四川能源互联网研究院,成都,610042
  3. 山东电力工程咨询院有限公司,山东,济南,250013
- 作者简介：
- 基金信息：
- DOI：10.16516/j.ceec.2025-240
  CLC： TM912;TK02
- Published：2026
- 稿件说明：
移动端阅览
王黎明, 史梓男, 李棉刚, 等. 锂电池储能电站安全风险预警技术及工程应用综述[J]. 南方能源建设, 2026, 13(4): 1-16.

.
王黎明, 史梓男, 李棉刚, 等. 锂电池储能电站安全风险预警技术及工程应用综述[J]. 南方能源建设, 2026, 13(4): 1-16. DOI： 10.16516/j.ceec.2025-240.

. DOI： 10.16516/j.ceec.2025-240.

摘要

目的

针对锂电池储能电站安全风险预警技术质量差异及“预警”“报警”概念混淆问题，明确风险预警内涵与阶段性特征，规范技术应用。

方法

剖析电站安全防护内涵，梳理风险源成因；推导锂电池热失控事故发展图谱，界定各阶段特征信号与警情措施；系统比较基于外部信号（微粒子、温度、气体、应力、声音）与基于运行数据（电压、电流、温度）两类预警技术的原理、适用阶段及优劣；统计工程应用情况；基于实际工程项目应用数据验证特定预警技术效果。

结果

明确风险发展阶段、特征信号及分级通报机制，厘清“预警”（早期风险）与“报警”（热失控后）本质区别。技术比较表明：外部信号技术仅适用于热失控报警；运行数据分析技术可实现事故全阶段（含早期异常）预警。市场存在将报警技术误导宣传为预警技术的现象。工程应用数据证实：采用全阶段预警技术后，电站安全风险事件发生概率显著降低，据此完成风险概率分级。

结论

基于运行数据分析的预警技术是锂电池储能电站实现全阶段风险预警的有效手段，性能显著优于外部信号报警技术。须规范市场宣传并严格区分预警/报警功能。提出的风险图谱、信号识别及分级通报框架为预警体系奠定基础。工程应优先选用全阶段预警技术并符合标准。实际数据验证其显著降低风险概率，风险分级结果为安全管理提供关键依据。建议深化智能算法研究并推动技术标准化。

Abstract

Objective

This study addresses the issues of varying quality in safety risk early warning technologies for lithium battery energy storage stations and the conceptual confusion between "early warning" and "alarming." It aims to clarify the connotation and stage-specific characteristics of risk early warning and to standardize technology application

Method

The research analyzed the connotation of station safety protection and investigated the causes of risk sources. It derived a development map for thermal runaway accidents in lithium batteries

defining characteristic signals and alert response measures for each stage. A systematic comparison was conducted between two categories of warning technologies: those based on external signals (particles

temperature

gas

stress

sound

ultrasonic) and those based on operational data analysis (voltage

current

temperature)

focusing on their principles

applicable stages

and performance. Engineering application scenarios were statistically reviewed. The effectiveness of a specific early warning technology was validated using data from actual engineering project deployments.

Result

The study clarifies the development stages of safety risks

their characteristic signals

and a graded alert notification mechanism

fundamentally distinguishing "early warning" (targeting early-stage risks) from "alarming" (triggered post-thermal runaway). The technology comparison demonstrates: external signal-based technologies are only suitable for post-thermal runaway alarming; operational data analysis technologies enable risk early warning across all accident stages

including early abnormalities. A market phenomenon exists where alarming technologies are misleadingly promoted as early warning solutions. Engineering application data confirms: the adoption of full-stage early warning technology significantly reduces the occurrence probability of safety risk incidents in stations. Based on this data

a risk probability classification is established.

Conclusion

Operational data analysis-based early warning technology is an effective means for achieving full-stage risk early warning in lithium battery energy storage stations

exhibiting significantly superior performance compared to external signal-based alarming technologies. Market promotion must be regulated

strictly differentiating betwee

n early warning and alarming functions. The proposed risk development map

signal identification framework

and graded alert mechanism lay the foundation for an early warning system. Engineering practice should prioritize the selection of full-stage early warning technologies compliant with standards. Actual data validates its effectiveness in significantly reducing risk probability

and the resulting risk classification provides crucial evidence for safety management. Further research into intelligent algorithms and the promotion of technology standardization is recommended.

关键词

Keywords

references

LI J, WANG Q S, KONG D P, et al. Research progress on the safety assessment of lithium-ion battery energy storage [J]. Energy storage science and technology, 2023, 12(7): 2282-2301. DOI: 10.19799/j.cnki.2095-4239.2023.0252.

LI P X, ZHANG L X, FENG W T, et al. Review on failure mechanism of lithium-ion battery [J]. Power capacitor reactive power compensation, 2025, 46(2): 153-159. DOI: 10.14044/j.1674-1757.pcrpc.2025.02.018.

YUAN S, CUI Y J, CHENG D H, et al. Statistical analysis of fire and explosion accidents in electrochemical energy-storage stations from 2017 to 2024 throughout the world [J]. Energy storage science and technology, 2025, 14(6): 2362-2376. DOI: 10.19799/j.cnki.2095-4239.2024.1151.

Beijing Emergency Management Bureau. Investigation report on the "4.16" major fire accident in Fengtai District [R]. Beijing: Beijing Emergency Management Bureau, 2021.

ZHANG X, CHEN S, ZHU J Z, et al. A critical review of thermal runaway prediction and early-warning methods for lithium-ion batteries [J]. Energy material advances, 2023, 4: 0008. DOI: 10.34133/energymatadv.0008.

CHEN S W, KONG G J, ZHANG Y L, et al. Fire and explosion risk analysis and prevention and control technology of lithium-ion battery energy storage systems [J]. Strategic study of CAE, 2025, 27(2): 269-286. DOI: 10.15302/J-SSCAE-2025.01.026.

ZHANG Y, QIN C Q, TIAN S S, et al. The change rule of smoke dispersion and temperature evolution in fires within lithium iron phosphate energy storage prefabricated cabin [J]. Electric power engineering technology, 2025, 44(1): 207-217. DOI: 10.12158/j.2096-3203.2025.01.021.

CAI X C, ZHU Y M, JIANG K S, et al. Application on perfluoro-2-methyl-3-pentanone in lithium battery premade energy storage cabin [J]. Energy storage science and technology, 2022, 11(8): 2497-2504. DOI: 10.19799/j.cnki.2095-4239.2022.0252.

REN D S, FENG X N, LIU L S, et al. Investigating the relationship between internal short circuit and thermal runaway of lithium-ion batteries under thermal abuse condition [J]. Energy storage materials, 2021, 34: 563-573. DOI: 10.1016/j.ensm.2020.10.020.

LI M, ZHENG Y P, ARTHUR T, et al. Analysis and suggestions on new energy storage policy [J]. Energy storage science and technology, 2023, 12(6): 2022-2031. DOI: 10.19799/j.cnki.2095-4239.2023.0140.

LIU C, CAO S L. Experience and insights on technical supervision of electrochemical energy storage power stations during the infrastructure period [J]. Advances in energy and power engineering, 2025, 13(2): 93-100. DOI: 10.12677/aepe.2025.132011.

PAN Y, FENG X N, LU L L, et al. Early Warning of Thermal Runaway for Lithium-Ion Battery Based on Multi-Sensor Detection [C]//ECS Meeting Abstracts, 2019, MA2019-01: 590. DOI: 10.1149/MA2019-01/6/590.

ZHAO G J, LI J J, HU Y X, et al. Safety risks and countermeasures of lithium-ion battery energy storage power stations [J]. Chinese journal of power sources, 2024, 48(12): 2343-2349. DOI: 10.3969/j.issn.1002-087X.2024.12.003.

CHEN Y, XIAO R, CUI Y L, et al. Research review on early warning and suppression technology of lithium-ion battery fire in energy storage power station [J]. Journal of electrical engineering, 2022, 17(4): 72-87. DOI: 10.11985/2022.04.009.

LI K J, ZHOU K Y, ZHAN R F, et al. Early active safety warning technology for thermal runaway of energy storage lithium-ion batteries [J]. Journal of electrical engineering, 2024, 19(4): 48-61. DOI: 10.11985/2024.04.005.

LI S D, LI Y, TIAN J, et al. Current status and emerging trends in the safety of Li-ion battery energy storage for power grid applications [J]. Energy storage science and technology, 2020, 9(5): 1505-1516. DOI: 10.19799/j.cnki.2095-4239.2020.0111.

WANG J F, CHEN B W, LI Y H, et al. Multiparameter warning of lithium-ion battery overcharge-thermal runaway [J]. Journal of energy storage, 2024, 78: 110088. DOI: 10.1016/j.est.2023.110088.

CABRERA-CASTILLO E, NIEDERMEIER F, JOSSEN A. Calculation of the state of safety (SOS) for lithium ion batteries [J]. Journal of power sources, 2016, 324: 509-520. DOI: 10.1016/j.jpowsour.2016.05.068.

Huawei Technologies Co., Ltd., TÜV Rheinland. Industrial and commercial energy storage safety white paper [R]. Shenzhen: Huawei Technologies Co., Ltd., 2022.

Trina Energy Storage Solutions (Jiangsu) Co., Ltd, TÜV NORD. Energy storage system safety and reliability white paper [R]. Changzhou: Trina Energy Storage Solutions (Jiangsu) Co., Ltd., 2024.

SHAH K, CHALISE D, JAIN A. Experimental and theoretical analysis of a method to predict thermal runaway in Li-ion cells [J]. Journal of power sources, 2016, 330: 167-174. DOI: 10.1016/j.jpowsour.2016.08.133.

KONG D P, LV H P, PING P, et al. A review of early warning methods of thermal runaway of lithium ion batteries [J]. Journal of energy storage, 2023, 64: 107073. DOI: 10.1016/j.est.2023.107073.

Electric Power Research Institute. Insights from EPRI's battery energy storage systems (BESS) failure incident database: analysis of failure root cause [R]. California: Electric Power Research Institute (EPRI), 2024.

CAO W J, LEI B, SHI Y J, et al. Ponderation over the recent safety accidents of lithium-ion battery energy storage stations in South Korea [J]. Energy storage science and technology, 2020, 9(5): 1539-1547. DOI: 10.19799/j.cnki.2095-4239.2020.0127.

CHEN S Q, WEI X Z, ZHANG G X, et al. Active and passive safety enhancement for batteries from force perspective [J]. Renewable and sustainable energy reviews, 2023, 187: 113740. DOI: 10.1016/j.rser.2023.113740.

LI W F, XUE Y, FENG X B, et al. Characteristics of particle emissions from lithium-ion batteries during thermal runaway: a review [J]. Journal of energy storage, 2024, 78: 109980. DOI: 10.1016/j.est.2023.109980.

LIAO Z H, ZHANG S, LI K, et al. A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries [J]. Journal of power sources, 2019, 436: 226879. DOI: 10.1016/j.jpowsour.2019.226879.

SHI S, LYU N W, JIANG X, et al. Hydrogen gas diffusion behavior and detector installation optimization of lithium ion battery energy-storage cabin [J]. Journal of energy storage, 2023, 67: 107510. DOI: 10.1016/j.est.2023.107510.

ZHEN X F, WANG B B, ZHANG X H, et al. Study on the generation and diffusion law of thermal runaway gas in lithium battery energy storage system [J]. Energy storage science and technology, 2024, 13(6): 1986-1994. DOI: 10.19799/j.cnki.2095-4239.2024.0028.

ZHANG Y, LI S Y, MAO B B, et al. A multi-level early warning strategy for the LiFePO 4 battery thermal runaway induced by overcharge [J ] . Applied energy, 2023, 347: 121375. DOI: 10.1016/j.apenergy.2023.121375.

LYU N W, JIN Y, MIAO S, et al. Fault warning and location in battery energy storage systems via venting acoustic signal [J]. IEEE journal of emerging and selected topics in power electronics, 2023, 11(1): 100-108. DOI: 10.1109/JESTPE.2021.3101151.

LADPLI P, KOPSAFTOPOULOS F, CHANG F K. Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators [J]. Journal of power sources, 2018, 384: 342-354. DOI: 10.1016/j.jpowsour.2018.02.056.

SAMAD N A, KIM Y, SIEGEL J B, et al. Battery capacity fading estimation using a force-based incremental capacity analysis [J]. Journal of the electrochemical society, 2016, 163(8): A1584-A1594. DOI: 10.1149/2.0511608jes.

DAI M W, ZHANG C F, YANG J W. Lithium battery thermal runaway warning method based on multi-feature fusion [J]. Southern energy construction, 2025, 12(2): 128-133. DOI: 10.16516/j.ceec.2024-204.

LI J L, XIAO H. Review on modeling of lithium-ion battery [J]. Energy storage science and technology, 2022, 11(2): 697-703. DOI: 10.19799/j.cnki.2095-4239.2021.0450.

LIN T T, CHEN Z Q, ZHOU S Y. Voltage-correlation based multi-fault diagnosis of lithium-ion battery packs considering inconsistency [J]. Journal of cleaner production, 2022, 336: 130358. DOI: 10.1016/j.jclepro.2022.130358.

MAO Z H, GU X, LI J L, et al. An applicable minor short-circuit fault diagnosis method for automotive lithium-ion batteries based on extremum sample entropy [J]. IEEE transactions on power electronics, 2024, 39(4): 4636-4644. DOI: 10.1109/TPEL.2023.3342412.

SHANG Y L, LU G P, KANG Y Z, et al. A multi-fault diagnosis method based on modified sample entropy for lithium-ion battery strings [J]. Journal of power sources, 2020, 446: 227275. DOI: 10.1016/j.jpowsour.2019.227275.

LI D, LIU P, ZHANG Z S, et al. Battery thermal runaway fault prognosis in electric vehicles based on abnormal heat generation and deep learning algorithms [J]. IEEE transactions on power electronics, 2022, 37(7): 8513-8525. DOI: 10.1109/TPEL.2022.3150026.

YAO L, FANG Z P, XIAO Y Q, et al. An intelligent fault diagnosis method for lithium battery systems based on grid search support vector machine [J]. Energy, 2021, 214: 118866. DOI: 10.1016/j.energy.2020.118866.

LIU S W, YANG H C, YU X, et al. Application and prospect of AI technology in power system development [J]. Southern energy construction, 2024, 11(5): 149-158. DOI: 10.16516/j.ceec.2024.5.16.

Underwriters Laboratories. Batteries for use in stationary and motiveauxiliary power applications: UL 1973: 2022 [S]. Northbrook, IL: Underwriters Laboratories, 2022.

Underwriters Laboratories. Energy storage systems and equipment: UL 9540: 2020 [S]. Northbrook, IL: Underwriters Laboratories, 2020.

International Electrotechnical Commission. Secondary cells and batteries containing alkaline or other non-acid electrolytes - Safety requirements for secondary lithium cells and batteries, for use in industrial applications: IEC 62619: 2022 [S]. Geneva: International Electrotechnical Commission, 2022.

International Electrotechnical Commission. Electrical energy storage (EES) systems–part 5-2: safety requirements for grid-integrated EES systems-electrochemical-based systems: IEC 62933-5-2: 2020 [S]. Geneva: International Electrotechnical Commission, 2020.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Lithium ion battery for electrical energy storage: GB/T 36276—2023 [S]. Beijing: Standards Press of China, 2023.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Battery management system for electrical energy storage: GB/T 34131—2023 [S]. Beijing: Standards Press of China, 2023.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Guide for hazard sources identification of electrochemical energy storage station: GB/T 42314—2023 [S]. Beijing: Standards Press of China, 2023.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Guidelines for manufacturing supervision of lithium-ion batteries for power energy storage: GB/T 43522—2023 [S]. Beijing: China Standards Press, 2023.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Safety code of electrochemical energy storage station: GB/T 42288—2022 [S]. Beijing: Standards Press of China, 2022.

General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. Primary batteries - Part 4: safety of lithium batteries: GB 8897.4—2008 [S]. Beijing: Standards Press of China, 2010.

Ministry of Housing and Urban-Rural Development of the People's Republic of China. Design code for electrochemical energy storage station: GB 51048—2014 [S]. Beijing: China Planning Press, 2015.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Secondary lithium cells and batteries used in electrical energy storage systems—Safety requirements: GB 44240—2024 [S]. Beijing: Standards Press of China, 2024.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Specification of supervision and control system for electrochemical energy storage station: GB/T 42726—2023 [S]. Beijing: Standards Press of China, 2023.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Technical guide for smart electrochemical energy storage station: GB/T 44133—2024 [S]. Beijing: Standards Press of China, 2024.

State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Guide of safety monitoring information system for electrochemical energy storage stations: GB/T 44767—2024 [S]. Beijing: Standards Press of China, 2024.

LIANG H S, ZHOU K, LUO H, et al. Active safety three-level prevention and control system and method for battery energy storage power station: CN202310013840.0 [P]. 2023-11-28.

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